Senior Applied Scientist - Agentic AI for Big Data Systems

Amazon Web Services (AWS)

Santa Clara (CA)

Vor Ort

USD 192.000 - 260.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Amazon Development Center U.S., Inc. in Santa Clara, CA is seeking an Applied Scientist to advance agentic AI/ML for large-scale data processing systems.

You will design, implement, and benchmark agentic features and ML-driven automation, working with engineers, product managers, and business leaders to bring innovations into production at Amazon scale. The role emphasizes collaboration, cutting-edge research, and mentorship of interns and peers, with a culture that values work-life balance and

Qualifikationen

  • PhD, or Master's degree and 6+ years of applied research experience.
  • Experience programming in Java, C++, Python or related language.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  • 5+ years research experience applying agentic AI or ML techniques to systems problems in programming languages, databases, or distributed systems.

Aufgaben

  • Apply agentic AI/ML to big data processing problems.
  • Design and benchmark agentic features and ML-powered automation.
  • Collaborate with engineering, product and business leaders to launch work in production at Amazon scale.
  • Present scientific work at top-tier venues and mentor interns and peers.

Kenntnisse

Java
C++
Python
Applied research
Agentic AI/ML
Distributed systems
Patents/publications

Ausbildung

PhD or Master’s degree

Tools

Hadoop
Spark

Jobbeschreibung

Amazon Development Center U.S., Inc. in Santa Clara, CA is seeking an Applied Scientist to advance agentic AI/ML for large-scale data processing systems.

You will design, implement, and benchmark agentic features and ML-driven automation, working with engineers, product managers, and business leaders to bring innovations into production at Amazon scale. The role emphasizes collaboration, cutting-edge research, and mentorship of interns and peers, with a culture that values work-life balance and

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